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Data Engineer Google Jobs in California (NOW HIRING)

Pwc

Data Engineer - Senior Manager

Los Angeles, CA · On-site

$124K - $280K/yr

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is ...

Pwc

Data Engineer - Senior Manager

San Francisco, CA · On-site

$124K - $280K/yr

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is ...

Pwc

Data Engineer - Senior Manager

Irvine, CA · On-site

$124K - $280K/yr

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is ...

Pwc

Data Engineer - Senior Manager

Sacramento, CA · On-site

$124K - $280K/yr

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is ...

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Showing results 21-40

All JobsData Engineer Google JobsData Engineer Google Jobs in California

Data Engineer Google information

See California salary details

$43.9K

$128K

$175.2K

How much do data engineer google jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data engineer google in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What does a data engineer at Google do?

A Data Engineer at Google designs, builds, and manages systems that collect, store, and process large volumes of data. Their responsibilities include creating data pipelines, ensuring data quality, and optimizing data architectures to support analytics and machine learning initiatives. They work closely with data scientists, analysts, and other engineers to ensure that data is accessible, reliable, and efficiently processed for various business needs.

How do data engineers at Google typically collaborate with data scientists and software engineers?

At Google, Data Engineers work closely with both data scientists and software engineers to build robust, scalable data pipelines and infrastructure. Data Engineers are responsible for ensuring that data is clean, accessible, and optimized for analytics, often translating business needs into technical solutions. Regular collaboration happens through cross-functional meetings, design sessions, and code reviews, where Data Engineers provide expertise in data modeling, ETL processes, and system optimization. This collaborative environment promotes innovation, knowledge sharing, and the successful deployment of data-driven products.

What are the key skills and qualifications needed to thrive as a data engineer at Google, and why are they important?

To thrive as a Data Engineer at Google, you need strong programming skills (especially in Python, Java, or Scala), expertise in data modeling, and a solid understanding of distributed systems, typically supported by a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP), BigQuery, SQL, Apache Spark, and relevant data engineering certifications is highly valued. Analytical thinking, effective communication, and problem-solving abilities are crucial soft skills for collaborating across teams and translating business requirements into technical solutions. These skills ensure the reliable design, optimization, and scalability of data systems critical to Google's innovation and decision-making.

What is the difference between Data Engineer Google vs Data Engineer Amazon?

AspectData Engineer GoogleData Engineer Amazon
Required CredentialsBachelor's in CS or related, Google Cloud certifications often preferredBachelor's in CS or related, AWS certifications common
Work EnvironmentGoogle Cloud Platform, large-scale data systems, collaborative teamsAWS cloud services, large data pipelines, cross-functional teams
Employer & Industry UsageGoogle, tech and internet servicesAmazon, e-commerce and cloud services
Search & Comparison IntentHigh overlap in cloud data engineering rolesSimilar roles in cloud data engineering

Both Data Engineer Google and Data Engineer Amazon roles require strong data processing skills, cloud platform knowledge, and relevant certifications. While Google emphasizes Google Cloud Platform expertise, Amazon focuses on AWS. Both roles are integral to their respective companies' data infrastructure, with similar work environments and industry usage, making them common comparison points for data engineering careers in cloud environments.

What are popular job titles related to Data Engineer Google jobs in California?

For Data Engineer Google jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Engineer Google jobs in California look for?

The top searched job categories for Data Engineer Google jobs in California are:

What cities in California are hiring for Data Engineer Google jobs?

Cities in California with the most Data Engineer Google job openings:

Data Engineer Google jobs near you
Infographic showing various Data Engineer Google job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Google Cloud Platform Data Engineer

Kforce Technology Staffing

Emeryville, CA • On-site

$132K - $159K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

RESPONSIBILITIES:
Kforce has a client that is seeking a Google Cloud Platform Data Engineer in Emeryville, CA for a 6 month contract with possible extensions. You will apply the skills and aptitude of an intermediate-level Data Engineer to build and maintain the Enterprise Data Warehouse for Reporting, Analytics, Agentic AI and Strategic AI use cases.
Essential Functions:
* Use experience in and knowledge of Google Cloud Storage, BigQuery, Airflow Composer, Cloud Data Fusion, Cloud Functions, BigQuery Data Transfer Service, Python, SQL and GitHub to build, modify and maintain Enterprise Data Warehouse (EDW)
* Collaborate as a member of a high-performing Agile data engineering scrum team
* Collaborate with the EDW development team, the larger Data & Integrations engineering team, the Production Data Support team and internal business stakeholders to design and develop new functionality, and to troubleshoot then resolve reported problems
* Use Google Gemini or Claude AI to generate detailed system documentation for new and modified data pipelines
REQUIREMENTS:
Primary Technical Focus:
* Prior experience using Agile in software engineering projects; Google Cloud Platform certifications are a plus
* SQL
* Google Cloud Platform (Google Cloud Platform)
* BigQuery
* Python
* Airflow Composer / DAG development
* GitHub
* Jira
* Agile methodology experience
* Telecom nice to have
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
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About Kforce

Sourced by ZipRecruiter

Kforce is a professional staffing services firm that is located in Tampa, Florida, US. Operational since 1962, it specializes in flexible and direct hire staffing in Technology and Finance & Accounting, engaging over 23,000 highly skilled professionals annually with more than 4,000 customers. Kforce operates within various industry sectors such as healthcare, financial services, communications, and government. Their mission is to have a meaningful impact on all the lives they serve, with a focus on integrity, respect, and trust.

Industry

It services and finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Tampa, FL, US

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